Gianluca Sforza

419 total citations
24 papers, 285 citations indexed

About

Gianluca Sforza is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gianluca Sforza has authored 24 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gianluca Sforza's work include Biometric Identification and Security (8 papers), User Authentication and Security Systems (7 papers) and Industrial Vision Systems and Defect Detection (4 papers). Gianluca Sforza is often cited by papers focused on Biometric Identification and Security (8 papers), User Authentication and Security Systems (7 papers) and Industrial Vision Systems and Defect Detection (4 papers). Gianluca Sforza collaborates with scholars based in Italy, United States and Mexico. Gianluca Sforza's co-authors include Fabio Scotti, Vincenzo Piuri, Angelo Genovese, Ruggero Donida Labati, Enrique Muñoz, Giovanna Castellano, Jason Hagerty, R. Joe Stanley, William V. Stoecker and Laura Caponetti and has published in prestigious journals such as ACM Computing Surveys, Energies and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Gianluca Sforza

23 papers receiving 275 citations

Peers

Gianluca Sforza

CVPR

EEE

Inam Ullah China

Hemprasad Yashwant Patil India

Martin Drahanský Czechia

Chien‐Chang Hsu Taiwan

Woong-Kee Loh South Korea

Harald Ganster Austria

Samy Bakheet Egypt

Mohit Kumar India

Pawan Bhaladhare India

R. Raja Subramanian India

Inam Ullah China

Gianluca Sforza

107 ×1.1

228 ×2.7

CVPR

149 ×2.3

52 ×1.0

23 ×0.5

EEE

Citations per year, relative to Gianluca Sforza Gianluca Sforza (= 1×) peers Inam Ullah

Countries citing papers authored by Gianluca Sforza

Since Specialization

Citations

This map shows the geographic impact of Gianluca Sforza's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gianluca Sforza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Sforza more than expected).

Fields of papers citing papers by Gianluca Sforza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianluca Sforza. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gianluca Sforza. The network helps show where Gianluca Sforza may publish in the future.

Co-authorship network of co-authors of Gianluca Sforza

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Sforza. A scholar is included among the top collaborators of Gianluca Sforza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianluca Sforza. Gianluca Sforza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Buonanno, Amedeo, et al.. (2024). An Innovative Methodology for Evaluating Power System Adequacy, Integrating Analyses of Both the Reliability and Anomalous Behaviour of Components. 1–6. 1 indexed citations

Buonanno, Amedeo, et al.. (2022). Global vs. Local Models for Short-Term Electricity Demand Prediction in a Residential/Lodging Scenario. Energies. 15(6). 2037–2037. 9 indexed citations

Sforza, Gianluca, Giovanna Adinolfi, Amedeo Buonanno, et al.. (2021). PowerLab: a flexible experimental architecture for smart microgrid testing. 1–6. 1 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Vincenzo Piuri, Fabio Scotti, & Gianluca Sforza. (2018). A Decision Support System for Wind Power Production. IEEE Transactions on Systems Man and Cybernetics Systems. 50(1). 290–304. 26 indexed citations

Monaco, A., Gianluca Sforza, Nicola Amoroso, et al.. (2018). The PERSON project: a serious brain-computer interface game for treatment in cognitive impairment. Health and Technology. 9(2). 123–133. 12 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Computational intelligence for industrial and environmental applications. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 8–14. 4 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Biometric Recognition in Automated Border Control. ACM Computing Surveys. 49(2). 1–39. 64 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 1–8. 4 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Emerging biometric technologies for Automated Border Control gates. 1–6. 2 indexed citations

10.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Enhancing the Performance of Multimodal Automated Border Control Systems. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 28. 1–5. 4 indexed citations

11.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Computational Intelligence for Biometric Applications: a Survey. International Journal of Computing. 40–49. 11 indexed citations

12.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2015). Automatic Classification of Acquisition Problems Affecting Fingerprint Images in Automated Border Controls. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 354–361. 8 indexed citations

13.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2015). Advanced design of Automated Border Control gates: Biometric system techniques and research trends. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 412–419. 13 indexed citations

14.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2015). Improving OSB wood panel production by vision-based systems for granulometric estimation. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 9. 557–562. 5 indexed citations

15.

Castellano, Giovanna, et al.. (2015). Shape annotation for intelligent image retrieval. Applied Intelligence. 44(1). 179–195. 10 indexed citations

16.

Labati, Ruggero Donida, Vincenzo Piuri, Roberto Sassi, Fabio Scotti, & Gianluca Sforza. (2014). Adaptive ECG biometric recognition: a study on re-enrollment methods for QRS signals. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 30–37. 14 indexed citations

17.

Sforza, Gianluca, et al.. (2012). Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas in Melanoma In Situ Images. IEEE Transactions on Instrumentation and Measurement. 61(7). 1839–1847. 41 indexed citations

18.

Sforza, Gianluca, Giovanna Castellano, R. Joe Stanley, William V. Stoecker, & Jason Hagerty. (2011). Adaptive segmentation of gray areas in dermoscopy images. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 48. 628–631. 4 indexed citations

19.

Castellano, Giovanna, et al.. (2010). Thinking of a System for Image Retrieval.. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 77–81. 1 indexed citations

20.

Basile, Teresa M. A., Laura Caponetti, Giovanna Castellano, & Gianluca Sforza. (2010). A Texture-Based Image Processing Approach for the Description of Human Oocyte Cytoplasm. IEEE Transactions on Instrumentation and Measurement. 59(10). 2591–2601. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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